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基于RGB成像的术中静息态功能连接性

Intraoperative Resting-State Functional Connectivity Based on RGB Imaging.

作者信息

Caredda Charly, Mahieu-Williame Laurent, Sablong Raphaël, Sdika Michaël, Schneider Fabien C, Guyotat Jacques, Montcel Bruno

机构信息

INSA-Lyon, Univ Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, France.

Service de Radiologie, Centre Hospitalier Universitaire de Saint Etienne, TAPE EA7423, Université de Lyon, UJM, F42023 Saint Etienne, France.

出版信息

Diagnostics (Basel). 2021 Nov 9;11(11):2067. doi: 10.3390/diagnostics11112067.

DOI:10.3390/diagnostics11112067
PMID:34829414
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8625493/
Abstract

RGB optical imaging is a marker-free, contactless, and non-invasive technique that is able to monitor hemodynamic brain response following neuronal activation using task-based and resting-state procedures. Magnetic resonance imaging (fMRI) and functional near infra-red spectroscopy (fNIRS) resting-state procedures cannot be used intraoperatively but RGB imaging provides an ideal solution to identify resting-state networks during a neurosurgical operation. We applied resting-state methodologies to intraoperative RGB imaging and evaluated their ability to identify resting-state networks. We adapted two resting-state methodologies from fMRI for the identification of resting-state networks using intraoperative RGB imaging. Measurements were performed in 3 patients who underwent resection of lesions adjacent to motor sites. The resting-state networks were compared to the identifications provided by RGB task-based imaging and electrical brain stimulation. Intraoperative RGB resting-state networks corresponded to RGB task-based imaging (DICE:0.55±0.29). Resting state procedures showed a strong correspondence between them (DICE:0.66±0.11) and with electrical brain stimulation. RGB imaging is a relevant technique for intraoperative resting-state networks identification. Intraoperative resting-state imaging has several advantages compared to functional task-based analyses: data acquisition is shorter, less complex, and less demanding for the patients, especially for those unable to perform the tasks.

摘要

RGB光学成像是一种无标记、非接触且无创的技术,它能够使用基于任务和静息态的程序来监测神经元激活后大脑的血流动力学反应。磁共振成像(功能磁共振成像)和功能近红外光谱技术的静息态程序不能在术中使用,但RGB成像为在神经外科手术中识别静息态网络提供了理想的解决方案。我们将静息态方法应用于术中RGB成像,并评估其识别静息态网络的能力。我们从功能磁共振成像中改编了两种静息态方法,以使用术中RGB成像来识别静息态网络。对3例接受运动部位附近病变切除术的患者进行了测量。将静息态网络与基于RGB任务的成像和脑电刺激提供的识别结果进行了比较。术中RGB静息态网络与基于RGB任务的成像相对应(骰子系数:0.55±0.29)。静息态程序在它们之间显示出很强的对应关系(骰子系数:0.66±0.11),并且与脑电刺激也有很强的对应关系。RGB成像是术中识别静息态网络的一项相关技术。与基于功能任务的分析相比,术中静息态成像有几个优点:数据采集时间更短、更简单,对患者的要求更低,尤其是对于那些无法执行任务的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/4386b44a1157/diagnostics-11-02067-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/f724b75b5e43/diagnostics-11-02067-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/ee9a337b3b1d/diagnostics-11-02067-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/4386b44a1157/diagnostics-11-02067-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/f724b75b5e43/diagnostics-11-02067-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/ee9a337b3b1d/diagnostics-11-02067-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad3/8625493/4386b44a1157/diagnostics-11-02067-g003.jpg

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